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Energy Efficiency Optimization with Statistical QoS Provisioning for Energy Harvesting Networks

机译:通过统计QoS设置为能量收集网络优化能效

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In this paper, we develop statistical quality of service (QoS)-driven power control policies to maximize the effective energy efficiency (EEE), which is defined as the spectrum efficiency under given specified QoS constraints per unit harvested energy, for energy harvesting based wireless networks. In particular, first, we analyze the long-term available energy constraints and formulate the EEE maximization problem. Then, we derive the closed-form solutions of optimal power control policies to the EEE maximization problem under the battery capacity dominated constraint, the average harvested energy constraint, and both the battery capacity and average harvested energy constraints, respectively. Furthermore, we derive the threshold to judge whether the optimal power control policy is limited by the battery capacity. The obtained numerical results validate our analyses and show that our developed optimal power control policies can optimize the EEE with statistical QoS provisioning over energy harvesting based wireless networks.
机译:在本文中,我们开发了统计服务质量(QoS)驱动的功率控制策略,以最大程度地提高有效能量效率(EEE),该效率被定义为在给定的每单位收获能量指定的QoS约束下的频谱效率,用于基于能量收集的无线网络。特别是,首先,我们分析长期可用能量约束并制定EEE最大化问题。然后,我们分别在电池容量控制的约束,平均收获的能量约束以及电池容量和平均收获的能量约束下,针对EEE最大化问题导出了最优功率控制策略的闭式解。此外,我们推导出阈值,以判断最佳功率控制策略是否受电池容量的限制。所得的数值结果验证了我们的分析结果,并表明我们开发的最佳功率控制策略可以通过基于能量收集的无线网络上的统计QoS设置来优化EEE。

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